Introduction to Spatial Statistics
- Date
2013-01-25 (Creation date: 2013-01-25)
- Main contributor
Chunfeng Huang
- Summary
-
Spatial statistics has gained great interest in various disciplines, such as climatology, environmental science, ecology, economics, political science, and throughout the social sciences. The aim of this presentation is to introduce a variety of statistical methods in the spatial domain. We will introduce and discuss methods for three types of spatial data including geostatistical data, regional data, and spatial point patterns. Major subjects to be covered include spatial covariance functions, variograms, kriging, spatial autoregressive models, and K functions.
- Publisher
IU Workshop in Methods
- Collection
Workshop in Methods
- Unit
Social Science Research Commons
- Notes
Performers
Dr. Huang is Assistant Professor of Statistics at Indiana University. He received his Ph.D. in statistics from Texas A&M University in 2001. His research interests include spatial statistics, spline smoothing, survival analysis, and statistics applications.
Access Restrictions
This item is accessible by: the public.